Caffe: a fast open framework for deep learning.
C++ Python Cuda CMake Protocol Buffer Matlab Other
Latest commit 16467ff Feb 20, 2017 @shelhamer shelhamer committed on GitHub Merge pull request #5296 from shelhamer/rc5
version bump: rc5
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.Doxyfile update doxygen config to stop warnings Sep 3, 2014
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CMakeLists.txt Merge pull request #5296 from shelhamer/rc5 Feb 21, 2017 [docs] add which will appear on GitHub new Issue/PR p… Jul 30, 2015 clarify the license and copyright terms of the project Aug 7, 2014 installation questions -> caffe-users Oct 19, 2015
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Makefile version bump: rc5 Feb 17, 2017
Makefile.config.example Add Pascal CUDA architectures to Makefile.config.example Feb 9, 2017 add badge for travis build and license Oct 1, 2015
caffe.cloc [fix] stop cloc complaint about cu type Sep 4, 2014


Build Status License

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the project site for all the details like

and step-by-step examples.

Join the chat at

Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.

Happy brewing!

License and Citation

Caffe is released under the BSD 2-Clause license. The BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Journal = {arXiv preprint arXiv:1408.5093},
  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  Year = {2014}